Comparing salaries

Exploratory data analysis is a crucial step in generating hypotheses!

You've had an idea you'd like to explore—do data professionals get paid more in the USA than they do in Great Britain?

You'll need to subset the data by "Employee_Location" and produce a plot displaying the average salary between the two groups.

The salaries DataFrame has been imported as a pandas DataFrame.

pandas has been imported as pd, maplotlib.pyplot as plt and seaborn as sns.

Deze oefening maakt deel uit van de cursus

Exploratory Data Analysis in Python

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Oefeninstructies

Filter salaries where "Employee_Location" is "US" or "GB", saving as usa_and_gb.
Use usa_and_gb to create a barplot visualizing "Salary_USD" against "Employee_Location".

Praktische interactieve oefening

Probeer deze oefening eens door deze voorbeeldcode in te vullen.

# Filter for employees in the US or GB
usa_and_gb = salaries[____["____"].____(["____", "____"])]

# Create a barplot of salaries by location
sns.____(data=____, x="____", y="____")
plt.show()

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